5 jobs found

Requisition: S Title: Institutional Research Analyst I or II - 3 positions to be filled FLSA status: Non-Exempt Hiring Salary: This position is a pay grade 9 or 11. Please see Pay Grade Table at: Occupational Category: Technical/Para-Professional Department: Data Analytics & Decision Support Division: Division of Enrollment Open Date: 08/29/2025 Open Until Filled: Yes Educational and Experience Requirement: Institutional Research Analyst I: Bachelor's degree required in Computer Science, Mathematics, Statistics, Management Information Systems or related field. One year of work experience in a data analysis or research position with at least basic knowledge of Excel, Structured Query Language (SQL), STATA, or other similar tools. Experience working in a higher education environment, teaching or supervising, is helpful. Higher educational attainment and training may substitute for work experience if it can produce demonstratable evidence of the required knowledge and abilities. A combination of education, experience, and training that would produce the required knowledge and abilities could be considered. Institutional Research Analyst II: Bachelor's degree in Statistics, Mathematics, Management Information Systems, Computer Science, or a related field. Two years of experience performing data analysis, in a field such as Computer Science, Management Information Systems (MIS), or a related field, to include experience with data management tools such as Structured Query Language (SQL), Statistical Package for the Social Sciences (SPSS), Statistical Analysis System (SAS), or a related tool. Experience with complex data sets including manipulating, merging, restructuring, and analyzing large data sets. Experience working in a higher education environment, teaching or supervising, is helpful. Higher educational attainment and training may substitute for work experience if it can produce demonstratable evidence of the required knowledge and abilities. A combination of education, experience, and training that would produce the required knowledge and abilities could be considered. Nature & Purpose of Position: Institutional Research Analyst I: Supports the Office of Data Analytics and Decision Support in managing the integrity of the university's official longitudinal data and reporting. Directly performs collection, analysis, interpretation, and reporting of data on demographics, participation, workload, costs, revenue, and performance outcomes pertaining to student, staff, faculty, programs, departments, colleges, and divisions. In peak seasons, assists the External Reporting Specialist with the preparation of Curriculum-Based Measurement (CBM) reports to be submitted to the Texas Higher Education Coordinating Board (THECB). Institutional Research Analyst II: Designs, develops, tests, and promotes SQL database tables, Cognos reports, and ad hoc reports into production. Supports the strategic Data Analytics and Decision Support office goals to deliver useful, relevant, accurate, and logically consistent data into the hands of university leaders, at all levels throughout the institution, as well as to external benefactors. Primary Responsibilities: Institutional Research Analyst I: Collects, compiles, edits, and analyzes data from a variety of sources to develop and prepare statistical reports related to various university functions. Prepares complex statistical reports including graphs, charts, and tables. Responds or coordinates responses to questionnaires and surveys received from local, state, and federal agencies. Assists members of the university community in defining and developing data needs. Verifies data and computations and proofreads reports. Represents the Office of Data Analytics and Decision Support in university and inter-agency meetings as needed. In peak seasons, assists the External Reporting Specialist with the preparation of Curriculum-Based Measurement (CBM) Reports to be submitted to the Texas Higher Education Coordinating Board (THECB). Performs other related duties as assigned. Institutional Research Analyst II: Develops standard reports in the Cognos data warehouse. Generates reports and datasets using SQL Developer and creates standard reports using the Cognos reporting tool. Works cooperatively with Cognos functional users to ensure results are verifiable and consistent with other data sources. Ensures timely and accurate submission of external reports and internal requests for data. Conducts data analysis and statistical analysis. Coordinates responses to surveys, report and analysis requests, and ad hoc inquiries received from internal and external entities by collecting, compiling, editing, and analyzing data from a variety of sources. Interprets and communicates analytical results in relation to clients' evaluation and research objectives. Provides assistance to clients with research and evaluation questions and problems. Provides presentations and written reports to clients. Identifies variables for information requests and associates desired information with the most appropriate available sources of data. Handles data set manipulation, extraction, compilation, and file merging. Assists members of the university community in defining and developing data needs. Verifies data and computations and proofreads reports. Represents the Office of Data Analytics and Decision Support in university and inter-agency meetings as needed. In peak seasons, assists the External Reporting Specialist with the preparation of Curriculum-Based Measurement (CBM) Reports to be submitted to the Texas Higher Education Coordinating Board (THECB). May supervise and train undergraduate and graduate student assistants. Performs other related duties as assigned. Other Specifications: Institutional Research Analyst I: Must be able to follow the established policies and procedures of the Office of Data Analytics and Decision Support (DADS) and university and also be able to independently identify and implement approaches and solutions to projects and issues based on training and experience. Work requires frequent decision-making and collaboration with persons outside the DADS Office. Knowledge of Statistical Package for the Social Science (SPSS) or other statistical computer application software is necessary, as is knowledge of spreadsheet, word processing, and graphic and presentation software. Specific experience using relational database software and structured query language is a plus. Must be comfortable with changing priorities. Must be able to work in a multi-project, fast-paced environment and meet concurrent deadlines. Must be able to work independently on repetitive as well as new and unfamiliar projects. Requires effective skills in oral, written, and interpersonal communication. Requires good organizational skills and extreme attentiveness to detail. Institutional Research Analyst II: Must be able to follow the established policies and procedures of the Office of Data Analytics and Decision Support (DADS) and university and also be able to independently identify and implement approaches and solutions to projects and issues based on training and experience. Work requires frequent decision-making and collaboration with persons outside the DADS Office. Must have a demonstrated knowledge of SQL, Cognos, Tableau/Power BI, programming, database manipulation, statistics, research design, and/or quantitative research analysis. Intermediate knowledge of statistics (descriptive, correlation/regression, means testing, etc.). Strong quantitative skills (arithmetic accuracy and skill at estimation). Strong analytical and critical thinking proficiency. Flexibility and creativity in problem solving. Ability to self-motivate and work independently when necessary but in a team when appropriate. Must be comfortable with changing priorities. Must be able to work in a multi-project, fast-paced environment and meet concurrent deadlines. Must be able to work independently on repetitive as well as new and unfamiliar projects. Requires effective skills in oral, written, and interpersonal communication. Requires good organizational skills and extreme attentiveness to detail. Full Time Part Time: Full Time Quicklink: EEO Statement: Sam Houston State University is an Equal Employment Opportunity Employer and Smoke/Drug-Free Workplace. All qualified applicants will receive consideration for employment without regard to race, creed, ancestry, marital status, citizenship, color, national origin, sex, religion, age, disability, or protected veteran status. The University takes seriously the initiative to ensure equal opportunity in the workforce and to comply with Title VII as interpreted by the U.S. Supreme Court. Sam Houston State University is an "at will" employer. Employees with a contract will have additional terms and conditions. Security-sensitive positions at SHSU require background checks in accordance with Education Code 51.215. Annual Security and Fire Safety Report

Posting Number: PG194812TM Position Number: 19PLS05584 Position Type: Temporary Essential Job Duties: A Full Stack Computer science developer needed for developing and implementing frontend and backend software applications. Candidate will be able to contribute with new RABapp tools. Is Time Limited: No Wolfpack Perks and Benefits: As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. What we offer: Health Insurance for Temporary Employees Enhance your career with LEAD courses Attend non-revenue generating sporting events for free. Attain Work-life balance with our Childcare discounts , Wellness & Recreation Membership , and Wellness Programs that aim to build a thriving wolfpack community. Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered. Job City & State: Raleigh, NC Department: Population Health & Pathobiology Classification Title: Temporary-Clerical Working Title: Full Stack Developer (Machado) Work Schedule: Monday - Friday (9 am - 5 pm) Minimum Experience/Education: Front and back end computer development, in addition to work as a full stack developer Department Required Skills: Highly motivated, with strong organizational and communication skills and excellent problem-solving skills and/or have experience developing and using software to solve quantitative problems, managing a complex codebase, acting as a steward of good coding practices, and/or being a team player who is able to work in a fast-paced environment with a multi-disciplinary team. Preferred Years Experience, Skills, Training, Education: Experience with Angular and spring boot Required License or Certification: N/A Valid NC Driver's License required?: No Commercial Driver's License Required?: No Anticipated Hiring Range: $22 - $35/hr Job Open Date: 01/06/2025 Quick Link: EEO: NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact to speak with a representative of the Office of Equal Opportunity. If you have general questions about the application process, you may contact Human Resources at or . Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit. NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

Senior Data Scientist, Wharton Graduate Division University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist, Wharton Graduate Division Job Profile Title Job Description Summary The Senior Data Scientist - Algorithmic Systems is a key member of the Data Science team supporting the full-time, Executive, and Global Wharton MBA programs. Reporting to the Director of Data Science, this role is instrumental in advancing analytics-driven solutions that enhance the student experience and improve office productivity. This position will lead the enhancement, maintenance, and expansion of Wharton's Course Match registration system-Wharton's MBA registration system that allocates course schedule. As a technically advanced implementation of modern mechanism design, Course Match is central to the MBA academic experience and requires continued refinement and innovation. The Senior Data Scientist will contribute directly to its algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development. The role demands expertise in mixed-integer programming (MIP), fluency in Python, and the ability to deliver clean, modular, and maintainable production code. The position also plays a strategic role in evaluating and integrating a new optimization engine into Course Match, collaborating with internal stakeholders such as the MBA Program Office, Wharton Computing, and the University Registrar, and engaging with external vendors to ensure system robustness, scalability, and alignment with institutional practices, policies, and priorities. Beyond Course Match, the Senior Data Scientist will contribute to a broader portfolio of academic affairs and data science initiatives, including AI integration, predictive modeling, statistical analysis, machine learning, and analytics infrastructure development. A major focus will be building reusable, scalable, and automated Python-based solutions that enable long-term innovation within the MBA Program Office and Wharton Computing. The ideal candidate brings a strong background in algorithmic systems and applied data science, with a demonstrated ability to manage complex technical projects from ideation through deployment. They will be adept at translating technical insights for diverse audiences, fostering cross-functional collaboration, and providing mentorship and thought leadership to colleagues. Outstanding communication skills and a highly collaborative mindset are essential. This role is a two-year appointment, with the potential for continuation. Job Description Duties Lead development and ownership of Course Match Serve as the primary developer and systems owner for Course Match registration system, including algorithm and infrastructure integration. Algorithmic and performance refinement Design and implement enhancements to Course Match's algorithmic infrastructure, including optimization tuning, performance analysis, heuristic development (e.g., Tabu Search), mixed-integer programming (MIP), and system diagnostics. Internal and external collaboration and system integration Partner with internal stakeholders and external vendors to support the integration of a new optimization engine. Participate in vendor evaluation, architecture planning, and system design discussions to ensure successful deployment and infrastructure integration. Data science project contributions beyond Course Match Contribute to high-impact academic affairs and data science initiatives beyond Course Match, including AI integration, process automation, and machine learning. Build robust Python-based solutions that promote reusability, automation, and scalability. Infrastructure development and automation Develop and maintain analytics infrastructure and automation pipelines to support data workflows across the MBA Program Office and Wharton Computing. Apply best practices in software development, testing, and version control. Qualifications Master's degree and 1-2 years of experience in a quantitative field such as Engineering, Data Science, Computer Science, Operations Research, Mathematics, or a related discipline is required; however, a Master's degree and at least 5 years of relevant experience is strongly preferred. Strong programming proficiency in Python is required, including experience developing modular, well-documented, and production-grade code. Familiarity with version control systems (e.g., Git) and test-driven development is strongly preferred. Demonstrated expertise in algorithmic systems or large-scale computational frameworks, with hands-on experience in one or more of the following: heuristic search methods (e.g., Tabu Search), combinatorial optimization, mixed-integer programming (MIP), or algorithmic market design. Experience working within multi-component software environments and integrating external libraries, APIs, or platforms. Familiarity with systems integration and data engineering practices is preferred. Experience supporting or participating in vendor evaluations or third-party system integrations is strongly preferred. Ability to engage with external vendors on technical system design, performance review, and implementation. Applied experience with core data science methods, including statistical modeling, predictive analytics, and machine learning. Proficiency with tools such as R, SQL, and Power BI is a plus. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $100,000.00 - $140,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired . click apply for full job details

Data Engineer, Penn Wharton Budget Model University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Engineer, Penn Wharton Budget Model Job Profile Title Application Developer Senior Job Description Summary Wharton School Overview Founded in 1881 as the world's first collegiate business school, the Wharton School of the University of Pennsylvania is shaping the future of business by incubating ideas, driving insights, and creating leaders who change the world. With campuses in both Philadelphia and San Francisco, Wharton has over 850 staff, a faculty population of more than 235 renowned professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 professionals from around the world advance their careers through Wharton Executive Education's individual, company-customized, and online programs. More than 104,000 Wharton alumni form a powerful global network of leaders who transform business every day. Wharton is home to a dynamic community of staff, bringing a wide range of skills, experiences, and perspectives. To learn more, visit . The Penn Wharton Budget Model (PWBM) is a non-partisan, research-based initiative that provides analysis to policymakers to assess the effects of policy on budgetary outcomes (government revenues and costs) and various economic variables. PWBM's work is widely cited and has been influential in many key recent policy discussions, including tax reform, budget reconciliation, immigration, Social Security, health care, infrastructure, pre-K education, paid family leave, universal income, and the federal debt. The PWBM team consists of roughly 30 Ph.D. economists, policy analysts, research analysts, software engineers, and developers. PWBM has a unique model - even relative to other scoring entities - that relies on a workflow between data processing, microsimulation (which utilizes large-scale Monte Carlo simulations), dozens of policy modules (including several tax calculators), and a large-scale stochastic macroeconomic overlapping generations (OLG) lifecycle model. An extensive code base, mostly in Python, underlies this workflow, and the model utilizes cutting-edge economic modeling, data science, machine learning, and cloud computing to project policy impacts. The models are frequently updated to reflect the latest economics and empirical research, and many of them require (large) datasets to calibrate them. PWBM is currently building a model automation pipeline to automate the forecasting process. The Data Engineer will be a member of the software engineering team and work closely with PWBM domain experts - economists, policy analysts, and research analysts - responsible for building and calibrating models using large, publicly and privately available datasets. The Data Engineer will design, build, and maintain the data infrastructure with the software engineering team; establish best practices for data ingestion and storage; and coach domain experts to write maintainable extract-transform-load (ETL) code. The Data Engineer will also contribute their expertise and insights to the model automation project to help make the automation pipeline robust to data changes. Position contingent upon funding. Job Description Job Responsibilities The data engineer will work with the software engineering team to design, build, and maintain data infrastructure that houses data obtained from external sources and PWBM model output and enables PWBM and external collaborators easy access to information that is versioned, accurate, and consistent. Establish best practices for data ingestion, storage, and retrieval. Work with PWBM domain experts to implement best practices in extract-transform-load (ETL) code, including producing readable, modular, and testable code. Help the Director of Engineering and Data and domain experts plan future infrastructure development. Mentor junior engineers, research analysts, and graduate students. Perform additional duties as assigned Qualifications Required Skills/Experience: A bachelor's degree in a relevant field, such as computer science, software engineering, statistics, mathematics, or engineering; and 3-5 years of experience; or equivalent. More than 2 years of post-degree experience as a data engineer in a team setting, and familiarity with current cloud data storage options, data modeling, data extraction (e.g., web scraping or using web APIs), automation (e.g., pipelining), and alerting/monitoring with process insights in mind. Demonstrated ability to write readable, modular, and testable code. Experience with modern software engineering best practices (e.g. automated testing, pair programming, and continuous integration). Solid ability to understand mathematical and statistical models. Strong written and verbal communication skills and the ability to collaborate successfully with teammates who have diverse technical backgrounds. The data engineer will work with individuals across a range of technical experience levels, so the candidate should be able to distill their thoughts into non-technical terms. Experience working with LLM-based coding tools. Experience with data frame packages/libraries in any programming language. Solid ability to identify requirements from discussions with domain experts and parse them into smaller stories/tasks. Preferred Skills: Knowledge of Python and pandas. Experience working with survey data or other microdata. Familiarity with major economic and demographic data sources (e.g. Census Bureau, Bureau of Labor Statistics, and Bureau of Economic Analysis). Experience working with data scientists or economists. Formal training in economics, public policy, or in quantitative disciplines such as statistics, engineering, and mathematics. Additional Information Staff positions at the Penn Wharton Budget Model are funded by external gifts and grants. This position is contingent upon both the continued availability of funding sources and the ongoing need for the role. It is an initial two-year term position, with potential renewal at the discretion of the faculty director. The position may be discontinued if funding sources are no longer available, if suitable replacement funding sources are not identified, or if the need for the position ceases to exist. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $83,500.00 - $130,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: . click apply for full job details

Job Summary We are seeking a Principal SQL Developer to provide technical leadership and expertise in the design, development, and optimization of our enterprise database solutions. This top-level role will be instrumental in architecting scalable, reliable, and high-performance data systems that support critical business applications and analytics. The ideal candidate will be a data expert, capable of translating complex business requirements into robust technical solutions, mentoring junior developers, and driving data strategies across the organization. Key Responsibilities Database Architecture & Design: Lead the design and implementation of complex, scalable database architectures (relational and potentially NoSQL), including schemas, tables, views, and indexing strategies, ensuring data integrity and consistency. Responsible for designing and gaining approval on data architecture decisions, data modeling approaches, design standards, development tools and lifecycle practices. Performance Optimization: Serve as the primary expert for performance tuning and optimization of all SQL queries, stored procedures, and database configurations, utilizing advanced tools (e.g., SQL Server Profiler) to identify and resolve bottlenecks in high-volume environments. ETL and Data Pipelines: Architect, develop, and maintain robust ETL/ELT processes and data pipelines to facilitate data migration, transformation, and integration from various sources into data warehouses and other data stores. Technical Leadership & Mentorship: Provide technical guidance, perform code reviews, and mentor junior and mid-level developers on best practices for SQL development, data modeling, and database management. Collaboration & Strategy: Work closely with senior management, data scientists, application developers, and business analysts to understand data needs, align database strategy with organizational goals, and influence the overall technology roadmap. Data Governance & Security: Define and enforce database security measures, backup/recovery, and disaster recovery strategies to safeguard critical data and ensure compliance with industry regulations (e.g., GDPR, HIPAA). Troubleshooting & Problem Solving: Proactively monitor and troubleshoot the most complex database issues, providing high-level support and implementing permanent solutions to ensure minimal downtime and disruption. Documentation & Standards: Champion a culture of comprehensive documentation for database architectures, processes, and operational procedures to ensure knowledge sharing and maintainability. CONTRACT JOB DESCRIPTION Responsibilities: 1. Leads the adoption or implementation of an advanced technology or platform. 2. Expert on the functionality or usage of a particular system, platform, or technology product. 3. Serves as a consultant to clients, guiding the efficient use or adoption of a particular IT product or platform. 4. Creates implementation, testing, and/or integration plans. 5. Demonstrates expertise in a particular IT platform or service, allowing for maximum IT investment. Minimum Education/ Certification Requirements: Bachelors degree in Information Technology or related field or equivalent experience Training or certification in a particular product or IT platform/service, as required Skill 6-10 yrs. leading advanced technology projects or service projects 6-10 yrs. full system engineering lifecycle 6-10 yrs. creating implementation/integration plans, test plans, and training materials 6-10 yrs. hands-on experience in specific product or IT platform proven experience of: delivering high quality, complex technology solutions in commercial and government organizations delivering data analytics platforms and enterprise applications; working with SQL, SSRS, SSIS, SSAS, Azure Data Factory, Databricks, Python, DAX senior level understanding of health care management systems; and working with senior executives Deep expertise in one or more major DBMS platforms (e.g., Microsoft SQL Server, Oracle, PostgreSQL, MySQL) and advanced T-SQL/PL-SQL programming. Exp data modeling (dimensional, star/snowflake schemas), ETL tools (SSIS, Informatica), and cloud-based data platforms (AWS RDS, Azure SQL) Strong understanding of database architecture principles, high availability solutions (clustering, replication), and capacity planning Bachelors degree. (Master's highly desired) in CS, IT or a quantitative data field of study OR equivalent exp. certifications (e.g., Microsoft Certified: Azure Database Administrator Associate), experience with Big Data technologies (Spark, Hadoop), and DevOps